A quasi-virtual online analyser based on an artificial neural networks and offline measurements to predict purities of raffinate/extract in simulated moving bed processes

• Type: Article in International Scientific Journal
• Date: 2018

Authors

Ildefonso B. R Nogueira (Author) FEUP; Ana M. Ribeiro (Author) FEUP; Reiner Requião (Author) Other; Alírio E. Rodrigues (Author) FEUP; Karen V. Pontes (Author) Other; Hannu Koivisto (Author) Other; José Miguel Loureiro (Author) FEUP

Journal

Title: Applied Soft Computing Journal

Vol. 67

Pages: 29-47

ISSN: 1568-4946

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 6 Citations

ScienceDirect (Elsevier)

Scientific classification

CORDIS: Technological sciences > Engineering > Chemical engineering

FOS: Engineering and technology > Chemical engineering

Associated Projects

LSRE-LCM - Laboratório de Processos de Separação e Reação - Laboratório de Catálise e Materiais

Other information

Authenticus ID: P-00N-Q9N

DOI: 10.1016/j.asoc.2018.03.001

Abstract (EN): The quality control and optimization of Simulated Moving Bed processes are still a challenge. Among the main reasons for that, the real time measurement of its main properties can be highlighted. Further developments in this field are necessary in order to allow the development of better control and optimization systems of these units. In the present work, a system composed by two Artificial Neural Networks working concomitantly with an offline measurement system is proposed, named Quasi-Virtual Analyser (Q-VOA) system. The development of the Q-VOA is presented and the system is simulated in order to evaluate its efficiency. The methodology used to select the input variables for the Q-VOA is another contribution of this work. The results show that the Q-VOA is capable of reducing the system errors and keep the prediction closer to the process true responses, when compared with the simple VOA system, which is based solely on model predictions. Furthermore, the results show the efficiency of the measurement system even under the presence of non-measured perturbations.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 19